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Also from TSH AI Football DecisionScout Radar
Sporting Director HubScouting HubAnalytics HubCoaches HubPerformance HubAcademy HubMedical HubPlayers MarketplacePlayer App Scout Radar Live Scout Radar maps every player-season into one space, learns from 12 years of transfer history and ranks who moves to a stronger league next, and when to sell. Every result is validated on history.
Access by personal code · 9 languages
It ranks which players are most likely to move to a clearly stronger league within two seasons, shows the historical players most like them and what happened to them, and flags the moment to sell. A radar, not an oracle: it narrows the funnel two to three times, and the final call stays with your scout.
Who it is for
Clubs
A second scouting department, covering leagues you don't travel to
Replacement shortlists for every departure: style × upside × age
League lens: how a profile translates to your league
Agencies
Sign tomorrow's movers while they're still affordable; the radar sees them around two seasons early
Time the exit: the sell window flags the plateau before the market does
Scouts
Turn a 2,000-player pool into the 50 names actually worth a trip
Every recommendation comes with reasons, twins and risk flags
Every season becomes a vector
Each player-season gets 140+ per-90 metrics, normalised inside each league and role, so 'good for his league' is comparable across countries. Style, level, age and team context become one point in space.
The time machine
For every year since 2016 the model is retrained using only what was knowable then, and graded on what actually happened in the next two seasons. No hindsight, no cherry-picking, no survivor bias.
Shortlists with receipts
A ranked list of tomorrow's movers. Every name comes with standout stats, historical twins and their real outcomes, risk flags and a two-page report you can put on a sporting director's desk.
Young Wide creators and Deep playmakers move up about 1.4× more often than their role average. Ball-winners and Direct dribblers are the most overlooked.
Defenders
Wing-back
Lives in the attacking flank: crosses and overlaps, pass accuracy traded for tempo.
Aggressive stopper
Front-foot defending: interceptions, clearances, the first forward pass.
Classic full-back
Full-cycle full-back: 1v1 defending behind, crosses ahead.
Positional centre-back
Owner of the box: clearances, blocks and calm circulation in a back four.
Midfielders
Ball-winner Most overlooked
Tackling as a craft, minimal creation. The profile the market buys least.
Deep playmaker Market favourite
Set pieces and through balls from deep: the main route into the final third.
Pressing pivot
Wins the ball back high and passes forward immediately.
Advanced creator
The final pass: chance creation and play between the lines.
Forwards
Target man
Aerial duels and hold-up play; finishes with his head.
Wide creator Market favourite
Efficient dribbling that ends in a pass or a shot.
Poacher
Lives in the box: chances, touches in the area, goals.
Direct dribbler Most overlooked
Plenty of take-ons and duels; raw attacking material the market ignores.
The interface your scouts will actually open. One search across every league, with transliteration and initials handled. Below it, the whole base in one table, ranked by model score, with filters that hide nothing.
Season 2025/26
| Player | Archetype | Model score | Role |
|---|---|---|---|
| MK | Wing-back | DF | |
| JD | Direct dribbler | FW | |
| LR | Classic full-back | DF | |
| AS | Deep playmaker | MD | |
| TV | Ball-winner | MD |
Probability of moving up, the cohort behind it and the sell window. Model score, historical cohort and sell window on one card, with a positional radar against same-role league peers, physical profile, career and risk flags.
Model score
45%
Stronger league · 2 seasons
Historical cohort
30 closest past twins
Sell window
Growth ahead
Hold
Every recommendation is defendable upstairs. The past players whose seasons looked most like his, with their real outcomes, next to the players with the same profile available now.
Historical analogues
and what happened
Available alternatives
same profile, now
Your player is leaving. Here is the shortlist. Pick any player from any season since 2016. Get pure style twins, or a replacement shortlist of same-role players available now, weighted for fit.
Replacement fit
Every dot is a real player-season. Over 200,000 player-seasons on one canvas, coloured by role, with rings on those who moved to a stronger league. Zoom into any neighbourhood and open a card.Every dot is a real player-season. Over 200,000 player-seasons on one canvas, with rings on those who moved to a stronger league. Zoom into any neighbourhood and open a card.
Print-ready for the sporting director's desk. Verdict, standout stats against same-role peers, historical analogues with outcomes, alternatives, cohort, sell window, profile through other leagues and risk flags.
Verdict
Standout stats
Historical analogues
Moved upStayedMoved upAvailable alternatives
Career
Historical cohort
Sell window
Growth ahead · holdProfile through other leagues
Risk flags
Strengths · weaknesses
Archetype
Wide creatorThe year-by-year backtest stays public, including 2021, the COVID market, when the 'sign the top scorers' baseline came closest. A tool you can't audit is a tool you can't trust.
Fully resolved years only: a two-season window needs two seasons to close. 2021, the COVID market, is the goals baseline's closest run. The table stays published either way.
| Year | Base rate | Top-50 hit rate | Scout Radar lift | 'Top scorers' lift |
|---|---|---|---|---|
| 2016 | 11.8% | 40.0% | ×3.40 | ×2.55 |
| 2017 | 10.2% | 50.0% | ×4.92 | ×1.38 |
| 2018 | 9.7% | 52.0% | ×5.34 | ×3.69 |
| 2019 | 10.5% | 44.0% | ×4.19 | ×3.62 |
| 2020 | 10.2% | 48.0% | ×4.71 | ×2.75 |
| 2021 | 10.5% | 46.0% | ×4.38 | ×4.00 |
| 2022 | 10.7% | 46.0% | ×4.31 | ×2.44 |
| 2023 | 11.6% | 50.0% | ×4.31 | ×2.93 |
8/8
Beats 'sign the top scorers' every year
In every fully resolved year of the backtest, Scout Radar's shortlist beats simply chasing the leading scorers.
3.4×
Sell before the drop
Players it flags at their peak decline within two seasons 3.4× more often than the base rate. It almost never tells you to sell a future star (0.2% kept growing).
No. 45% means that share of comparable past picks moved to a stronger league within two seasons. A radar, not an oracle.
A league at least 1.5× stronger on TSH's own league-strength calibration, with at least 600 minutes played there within two seasons.
Yes, if professional match data exists for it, and it does for 700+ men's leagues worldwide. A new league is a mechanical backfill: days, not months.
Sometimes it is, and we publish those years. Scout Radar narrows the funnel; your scouts still watch the player and make the call.
Season 2025/26 ratings with live club updates, so you always see where a player is now.
Scout Radar is live with access by personal code. Book a demo and we'll take you through your leagues and issue access for your staff.
Book a demo and see your leagues, your targets and your sell candidates through Scout Radar.
